1,720,959 research outputs found
Embedded Key Frame Extraction in UGC Scenarios
No full textVideo summarization is an old problem that offers a wide variety of scenarios and approaches. In this work we investigated the suitability of Key Frame Extraction (KFE) solutions in embedded architectures for mobile platforms. In particular, in our scenario the list of key frames is requested right after a shooting session ends. The most interesting outcome has been the evaluation of performances in User Generated Content (UGC) scenarios through an extensive survey based on Opinion Scores, interviews and other minor metrics. We tested five different solutions and results suggest that pursuing sophisticated algorithms doesn't necessarily enrich the end user experience. We hope that this work will contribute to stimulate the debate on the KFE also in realistic scenarios and to pay attention to the user feedbacks to drive the investigation
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
AREEB: Automatic REfrain Extraction for ThumBnail
No full textThis paper investigates a given branch of the music information retrieval field, specifically that of audio thumbnail, through which a piece of music can be automatically summarized. We first provide a survey on the different techniques available today for the generation of music summaries, and then we propose a practical method that, based on best practices, is able to summarize songs with a great efficacy
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Semantic Zoomable Interface for Multimedia Content
No full textWithout any doubt multimedia content has become essential
in all aspects of our digital society, leading to the generation
and storage of an unfathomable amount of digital media. In
the Information Retrieval (IR) field the majority of research
available to this date approaches all questions in terms of semantic
tagging, indexing and feature extraction. Although these are all fundamental steps in the design of any IR system, we believe that also an efficient human machine interface (HMI) can significantly improve the retrieval rate success at the end-user side. In our work we developed a
Zoomable User Interface integrated with semantic algorithms
dealing with media content, calling it a Semantic ZUI: we believe
thath this approach can help browsing multimedia files
in a seamless way, providing benefits for end users
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